Iron A full private AI stack with strong orchestration.
VDF AI is strong when teams want to own a broad AI stack with visual orchestration, private retrieval, model routing, chat, data tooling, and customer-controlled deployment.
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Choose deeper trust and recovery for production agents.
VDF AI is a capable private AI platform for agents, multi-agent networks, routing, retrieval, and enterprise deployment. Iron Gorilla focuses the decision on durable execution, earned behavioral trust, containment, and accountable recovery.
Make durable, accountable operations the center.
Iron Gorilla adds durable state across interruption, behavioral Trust Profiles, autonomy tied to earned trust, connection health ownership, action compensation, and live containment and recovery in one accountable operating model.
Feature comparison
Compare two real agent platforms feature by feature.
Iron Gorilla covers 34 of 46 capabilities. VDF AI covers 34. Iron Gorilla includes 11 capabilities VDF AI does not.
Managed agent runtimeBuild, run, supervise, and improve agents in one platform.12 features
Managed production agent runtimeBuild, deploy, execute, and operate production agents as a supported platform.
Guided Agent BuilderCreate production agents through a reviewed configuration flow.
Durable execution across service interruptionPreserve state and resume long-running work after workers or infrastructure fail.
Managed long-term agent memoryKeep governed operational context across sessions and long-running goals.
Goal-to-plan executionTurn an objective into structured, trackable multi-step work.
Managed multi-agent orchestrationCoordinate specialized agents, dependencies, handoffs, tools, and shared work.
Human approval gatesPause higher-risk work for a named person before execution continues.
Retries, circuit breakers, and SLO trackingHandle transient failure and watch operational service objectives.
Dead-letter queue with manual replayRoute failed executions for review, replay, or escalation.
Checkpoint resume after operator interventionRestart governed work from a known good point with state intact.
Business-action compensationReverse or compensate for a completed business action during recovery.
Full execution observabilityInspect agent steps, tools, models, latency, failures, and outcomes.
Policy and evidenceControl actions before they happen and keep proof of each decision.12 features
Pre-action policy guardrailsEvaluate rules before tools change business systems.
Prompt and content safety filtersInspect inputs and outputs for unsafe or disallowed content.
PII redaction and data controlsPrevent sensitive data from reaching models, tools, or outputs improperly.
Immutable and replayable per-run auditPreserve inputs, retrieval, tools, models, outputs, policy, and decisions.
Behavioral Trust ProfilesScore each agent from observed behavioral signals and expose drift.
Adaptive autonomy from earned trustTighten or relax oversight as observed behavior changes.
Live workload containmentIsolate an agent, connection, or run before risk spreads.
Guided operational recoveryDiagnose failure and recover affected work through an accountable operator flow.
Versioned configuration promotion and rollbackPromote reviewed agent configurations between environments and roll back safely.
Policy simulation before deploymentTest expected decisions against sample actions before enforcement.
Private retrieval-augmented generationGround agents and chat in enterprise knowledge inside controlled infrastructure.
Scheduled fixed reports and portable exportsGive leaders and auditors repeatable reports in stable formats.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.11 features
MCP tool registry and governanceRegister and control MCP tools used by production agents.
MCP connection ownership, health, and lifecycleOperate connections with owners, credentials, health, risk, assignments, and history.
More than 20 published integrationsConnect agents to a ready-made enterprise tool catalog.
REST API, Python SDK, and Docker deliveryIntegrate and deploy platform functions through common engineering interfaces.
Bring-your-own-model supportUse approved models across providers and customer-controlled infrastructure.
Policy-aware multi-model routingSelect models by quality, cost, latency, compliance, and policy.
Ordered model-provider fallbackContinue work on approved backups when a model provider fails.
Cost-aware routing and spend controlsChoose economical models and control model spend.
Per-agent tool and model assignmentGive each agent only the tools and model routes it needs.
Energy and carbon-aware model routingInclude energy use or carbon impact in model selection.
Self-evolving routing and agent assignmentLearn from outcomes to adapt model, tool, agent, and planning choices.
Enterprise and governmentProtect identity and data across private and public-sector work.11 features
SaaS, private cloud, on-premises, and hybrid deploymentRun the platform where infrastructure and residency rules require.
Air-gapped deployment patternOperate inside disconnected environments with controlled data and model access.
Dedicated government and defense solutionAddress mission planning, sovereignty, approval, deployment, and evidence directly.
Enterprise SSO available nowConnect enterprise identity through a generally available SSO feature.
Published plan structureShow buyers public plans and included capabilities before an enterprise sale.
Flat platform pricing without token feesOffer a platform price that does not add a vendor token charge.
Self-service Docker image portalLet customers retrieve private deployment images with scoped registry access.
Enterprise AI chat productProvide a governed employee chat experience as a named platform product.
Model training and data-preparation productPrepare data and tune models inside the same platform suite.
Formal multi-track partner programUse technology, delivery, implementation, and market partners.
Independent SOC 2 Type II assuranceProvide an independent report that service controls operated effectively over time.
The short answer
Broad private AI stack or managed accountable operations?
Use VDF AI when teams want visual multi-agent networks, private retrieval, model routing, chat, data tooling, Docker delivery, and cloud, on-premises, hybrid, or air-gapped deployment.
Choose Iron Gorilla when durable continuity, behavioral trust, adaptive approvals, connection health, action compensation, containment, and guided recovery matter more than owning a broad AI stack.
Switch with less risk
Already under contract with VDF AI?
Your organization may qualify for a contract buyout and complimentary professional services when it moves production agents to Iron Gorilla.
Check eligibilityFAQ
VDF AI alternative questions
Is Iron Gorilla an alternative to VDF AI?
Yes. Both platforms build and govern production agents. VDF AI offers a broader private AI stack, while Iron Gorilla focuses on durable, trusted, recoverable agent operations.
What is the main difference between VDF AI and Iron Gorilla?
VDF AI combines agents, networks, routing, retrieval, chat, and data products. Iron Gorilla centers on durable execution, behavioral trust, controlled actions, containment, and recovery.
Does VDF AI run production agents?
Yes. VDF AI provides agent building, multi-agent networks, tools, model routing, governance, observability, and private deployment options.
Where is VDF AI stronger?
VDF AI is stronger for broad private AI infrastructure, visual network orchestration, private retrieval, enterprise chat, data tooling, adaptive routing, and self-service Docker delivery.
When should a team choose Iron Gorilla over VDF AI?
Choose Iron Gorilla for durable continuity, long-term operational memory, earned behavioral trust, adaptive approvals, MCP health, action compensation, containment, and guided recovery.
Can Iron Gorilla buy out a VDF AI contract?
Your organization may be eligible for a contract buyout and complimentary professional services. Eligibility and scope depend on your current contract and migration needs.
See the full agent lifecycle.
Build an agent. Set its limits. Run it with trust, approval, and audit controls.
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